Strategy & Impact Analyst (Remote) at Lafiya Nigeria

At Lafiya, we’re on a mission to make contraception accessible to anyone who needs it and wants it – no matter where they live. Through our network of dedicated female health professionals – our Lafiya Sisters – we provide information and deliver contraception directly to communities that need it most. Our approach is cost-effective, community-based, and deeply rooted in respect and agency. We operate in hard-to-reach communities that otherwise do not have access to contraceptive products and information. We currently run our core programme across four states in northern Nigeria, managing 280 Lafiya Sisters. In addition to our direct community work, we are building our own supply chain to address widespread supply challenges in Nigeria and are partnering with government stakeholders to realise sustainable financing models for the procurement of contraception. To date, we have supported more than 200,000 women through our innovative last-mile approach.

We’re a fast-growing non-profit in the middle of a transition from start-up to scale-up. Our focus is on impact, cost-effectiveness, and ensuring our work enhances the dignity and agency of those we serve.

We are  recruiting to fill the position below:

 Job Title: Strategy & Impact Analyst

Location: Nigeria
Employment Type: Full-time (Remote)

Position Overview

• At Lafiya, evidence-driven decision-making is key to how we operate. We are looking for a research-minded generalist to support the analytical work behind our strategic and programmatic decisions, housed within the Monitoring, Evaluation & Learning (MEL) department.
• Cost-effectiveness modelling is one part of the role, but your mandate is broader: making sure that when Lafiya faces a decision, the right evidence has already been gathered and modelled to inform it, drawing on our own data as well as the wider evidence base for existing SRHR and global health interventions.
• Some of this work will be fast, prepared within days to support an urgent decision. Some of it will be slower and more rigorous, built to provide transparency and accountability to external evaluators and funders. You’ll draw on evaluation findings and routine programme data produced by our MEL department as key inputs to your models, and your cost-effectiveness framing will in turn help sharpen what questions our evaluations should answer.
• On joining, you’ll spend an extended period seeing the programme and team in action in Nigeria (typically ~4 weeks, though we’re flexible to accommodate different backgrounds). This time is meant to give you a deep understanding of how the intervention actually functions: shadowing Lafiya Sisters, seeing how contraception moves through our supply chain, and meeting the MEL and programme teams whose data and decisions you will be working with. The goal is for you to leave that period with a feel for where our numbers come from and what they miss.
• We are looking for someone truth-seeking and intellectually independent in evaluating our impact. Lafiya is committed to being one of the most cost-effective ways to save and improve women’s lives, and if the evidence said otherwise, we would change course. That only works if the person preparing the evidence is honest rather than aiming for a preferred conclusion.

What You’ll Do

• Decision-support analysis: prepare the evidence and modelling needed to inform specific decisions as they arise, on programme adjustments, resource allocation, or expansion questions, working to the timeline the decision requires.
• Cost-effectiveness modelling: maintain and update Lafiya’s core cost-effectiveness model, incorporating new programme data and refining key assumptions as evidence improves. This may concern a range of outcomes, including maternal & child health, livelihoods and climate.
• Unit cost tracking: monitor cost per client and other core unit costs, understand what is driving changes in them over time, and flag what those changes imply for the programme.
• Modelling proposed changes: build models to estimate the likely impact of proposed improvements to our programme (e.g. hybrid/online training for Lafiya Sisters; closer integration with postpartum family planning).
• Cross-sector evidence tracking: monitor research and cost-effectiveness analysis on adjacent SRHR and global health interventions, and assess what it implies for decisions Lafiya is facing.
• External engagement: prepare for and contribute to conversations with external evaluators and funders on Lafiya’s cost-effectiveness and other strategic modelling, as needed.
• Communication: translate modelling and research findings into clear, decision-ready analysis for internal decision-makers, and communicate uncertainty and limitations honestly rather than overstating confidence in a given estimate.

Who You Are
This role calls for someone who sees analysis as a means to better decisions. You think in cost-effectiveness terms; you can produce a useful rough estimate when a decision is needed this week, or a rigorous model when the question warrants deeper analysis; and you’re comfortable making sound judgements under real-world uncertainty, using imperfect data thoughtfully.

You’re someone who:

• Prepares evidence thoughtfully. You think about what a decision-maker actually needs to know before you start building, and your analysis leads to an evidence-based recommendation rather than mere analysis for its own sake.
• Thinks in cost-effectiveness terms. You are familiar with GiveWell-style cost-effectiveness modelling, or EA-adjacent approaches to evaluating impact, and can apply that thinking to Lafiya’s programme.
• Moves between registers. You can produce a rough model quickly when a decision needs to be made this week, and you can also design a more rigorous piece of analysis to a standard that holds up to external review.
• Is comfortable estimating without perfect data. When the evidence is incomplete, you make a reasonable, well-reasoned estimate rather than waiting for data that may never arrive. You’re explicit about the assumptions you used, where each piece of information came from, and what uncertainties remain so anyone reviewing your work can see exactly what it does and doesn’t rest on.
• Communicates clearly. You can explain a model’s assumptions and limitations to a non-technical audience without losing the substance, and know how to present findings so they are actually usable in a decision.
• Is driven by learning. You are not afraid to ask questions or challenge assumptions. You see analysis and evidence as tools for organisational improvement, not a box-ticking exercise. You’re comfortable saying when you don’t know something, and you enjoy figuring it out.
• Is a rigorous truth-seeker. You care deeply about methodological integrity and credibility. You question assumptions, interrogate your own models, and are transparent about uncertainty and limitations. You believe strong evidence is built on honesty, not perfect results.
• Works autonomously. You don’t wait to be told what to do next. You take ownership of your workstream, identify what needs attention, and move it forward without close supervision.

Education and Experience

• Bachelor’s Degree in Economics, Statistics, Data Science, Public Health, or a related field.
• Past experience building cost-effectiveness or decision-analysis models, whether in an EA-aligned research organisation, consulting, or a similar quantitative analyst role. Or a demonstrated track record of independent cost-effectiveness or decision-relevant analysis that shows you can reason rigorously about impact.
• Open to a range of experience levels from early-career candidates with a strong demonstrated analytical track record to those with several years in consulting or a similar quantitative role. We care more about the quality of your reasoning than your title.
• An interest and experience in global health or international development is a plus

Skills & Competencies:

• Professional fluency in English is mandatory.
• Strong proficiency in Excel or Google Sheets, including building and auditing complex models, is mandatory.
• Familiarity with R or Python, useful for analysis that goes beyond what a spreadsheet can handle well, is a plus.
• Clear written communication, able to produce analysis that is both rigorous and accessible to non-technical stakeholders.
• Able to critically read and synthesise external cost-effectiveness or academic literature and assess its relevance to Lafiya’s decisions
• Ability to manage multiple projects and stay organised in a fast-moving environment

You don’t need to check every box here. The ‘mandatory’ items are genuinely required, but ‘preferred’ and ‘a plus’ are bonuses, not bars to clear. If you meet the mandatories and this role excites you, please apply and don’t self-select out.

Why should you apply
You will be joining a young, ambitious and supportive organisation that is growing quickly. We are serious about impact and serious about investing in our people. There will be room to take initiative, make decisions, and leave your mark on a critical stage of Lafiya’s growth. We don’t have layers of approval or slow processes – if something makes sense, we’ll try it.

Benefits include:

• Salary: N300,000 – N400,000 monthly.
• 40 days of combined holiday and paid annual leave
• Fully paid maternity leave
• Other benefits, such as health insurance and office/co-working space(varies by location)
• Flexibility in where, when and how you work
• Working closely with a team of senior leaders who are collaborative, ambitious and serious about impact.
• Annual team retreat with all expenses paid

Application Deadline 
20th September, 2026.

METHOD OF APPLICATION 

Interested and qualified candidates should use link below to Apply.

Click here to apply online

What is the recruitment process for this role?
We value your time and aim to make our recruitment process as insightful as possible. It includes:

• Stage 1: Application Form & Assessment. Share your CV and complete a 20-minute multiple-choice quiz to assess your fit for the role.
• Stage 2: Test Task. Engage in a 1-3 hour task that mirrors the kind of work you’ll do with us.
• Stage 3: Interview. This is the final stage, after which we’ll make offers. All candidates will be asked the same questions in a 1-hour interview. It will also be an opportunity for you to ask us questions.

Note

• We’re committed to transparency and will provide feedback from Stage 2 onwards.